PS C:\Windows\system32> translate_arxiv.exe 2211.07864 --debug
The current mathtranslate is latest
Start
engine google
language from en
language to zh-CN

arxiv number: 2211.07864

temporary directory C:\Users\zidea\AppData\Local\Temp\tmpy7ifae1s
main tex files found:
.\main.tex
Processing .\main
Cache is found
It is a full latex document
100%|██████████████████████████████████████████████████████████████████████████████████| 57/57 [03:59<00:00,  4.21s/it]
288 / 288 latex object are correctly translated
Number of translation called: 94
Total characters translated: 30886
saved to .\main.tex
zip file is saved to 2211.07864.zip
You can upload the zip file to overleaf to autocompile
# the first was successfully translated



PS C:\Windows\system32> translate_arxiv.exe 2306.04098 --debug
The current mathtranslate is latest
Start
engine google
language from en
language to zh-CN

arxiv number: 2306.04098

temporary directory C:\Users\zidea\AppData\Local\Temp\tmpc038di1a
trying to download from https://arxiv.org/e-print/2306.04098
main tex files found:
.\sn-article.tex
Processing .\sn-article
Cache is found
It is a full latex document
  0%|                                                                                           | 0/49 [00:00<?, ?it/s]Error found in Parapragh 30
Content
    Based on our experiment results in Table   \ref{tab:dcgan}  , it appears that the centralized mode of training outperforms the FL technique in terms of metrics like FID, IS, Precision, and Recall. Furthermore, it seems that the performance of FL methods greatly depends on the type of data used. ie. The performance of FL on non-IID is worse than that with IID data since it is influenced by the uneven distribution of data across the participating devices. This can be visualized by the distribution of generated data (10k samples) for different modes as shown in Figure   \ref{fig:sample_distributions_gan_dm}  .

    The experiments were conducted in the   \textbf{NVIDIA Tesla K80 Accelerator}   with a memory size of 12 GB which is optimal for DCGAN training. The overall time to train the centralized machine learning is approximately 5 hours, whereas the FL takes approximately 2 hours per server round of training. DCGANs contain 3.5 million parameters in the generator model and 2.7 million parameters in the discriminator model, totaling to approximately   \textbf{6.2 million parameters}  . This makes GAN models much faster to train and generate samples when compared to Diffusion Models. However, GAN contains a non-convex optimization problem, meaning that there are several local optima that the optimization algorithm can get stuck in. This means that the generator and discriminator models are unable to converge to a stable solution, and hence the performance can oscillate or drop off completely (Figure   \ref{fig:dcgantrain}  ).
 61%|██████████████████████████████████████████████████▏                               | 30/49 [00:07<00:04,  3.94it/s]
Traceback (most recent call last):
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate_arxiv.py", line 176, in main
    raise e
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate_arxiv.py", line 166, in main
    success = translate_dir('.', options)
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate_arxiv.py", line 91, in translate_dir
    translate_single_tex_file(file_path, file_path, options.engine, options.l_from, options.l_to, options.debug, options.nocache)
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate.py", line 265, in translate_single_tex_file
    text_final = latex_translator.translate_full_latex(text_original, nocache=nocache)
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate.py", line 237, in translate_full_latex
    raise e
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate.py", line 228, in translate_full_latex
    latex_translated_paragraph = self.translate_paragraph_latex(latex_original_paragraph)
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate.py", line 165, in translate_paragraph_latex
    latex_translated_paragraph = self.translate_text_in_paragraph_latex_and_leading_brace(latex_original_paragraph)
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate.py", line 160, in translate_text_in_paragraph_latex_and_leading_brace
    latex_translated_paragraph = self.translate_text_in_paragraph_latex(latex_original_paragraph)
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate.py", line 137, in translate_text_in_paragraph_latex
    result += self._translate_text_in_paragraph_latex(split) + ' ' + sep + ' '
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate.py", line 120, in _translate_text_in_paragraph_latex
    text_translated_paragraph = self.translate_paragraph_text(text_original_paragraph)
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate.py", line 95, in translate_paragraph_text
    parts_translated.append(self.translator.translate(part))
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate.py", line 55, in translate
    raise e
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate.py", line 49, in translate
    result = self.try_translate(text)
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate.py", line 41, in try_translate
    return self.translator.translate(text, self.language_to, self.language_from)
  File "C:\Users\zidea\AppData\Roaming\Python\Python39\site-packages\mtranslate\core.py", line 80, in translate
    raw_data = urllib.request.urlopen(request).read()
  File "C:\ProgramData\Anaconda3\lib\urllib\request.py", line 214, in urlopen
    return opener.open(url, data, timeout)
  File "C:\ProgramData\Anaconda3\lib\urllib\request.py", line 523, in open
    response = meth(req, response)
  File "C:\ProgramData\Anaconda3\lib\urllib\request.py", line 632, in http_response
    response = self.parent.error(
  File "C:\ProgramData\Anaconda3\lib\urllib\request.py", line 561, in error
    return self._call_chain(*args)
  File "C:\ProgramData\Anaconda3\lib\urllib\request.py", line 494, in _call_chain
    result = func(*args)
  File "C:\ProgramData\Anaconda3\lib\urllib\request.py", line 641, in http_error_default
    raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 500: Internal Privoxy Error

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\ProgramData\Anaconda3\lib\shutil.py", line 627, in _rmtree_unsafe
    os.unlink(fullname)
PermissionError: [WinError 32] 另一个程序正在使用此文件，进程无法访问。: 'C:\\Users\\zidea\\AppData\\Local\\Temp\\tmpc038di1a\\objs'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\ProgramData\Anaconda3\lib\tempfile.py", line 805, in onerror
    _os.unlink(path)
PermissionError: [WinError 32] 另一个程序正在使用此文件，进程无法访问。: 'C:\\Users\\zidea\\AppData\\Local\\Temp\\tmpc038di1a\\objs'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\ProgramData\Anaconda3\lib\runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "C:\ProgramData\Anaconda3\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "C:\ProgramData\Anaconda3\Scripts\translate_arxiv.exe\__main__.py", line 7, in <module>
  File "C:\ProgramData\Anaconda3\lib\site-packages\mathtranslate\translate_arxiv.py", line 176, in main
    raise e
  File "C:\ProgramData\Anaconda3\lib\tempfile.py", line 830, in __exit__
    self.cleanup()
  File "C:\ProgramData\Anaconda3\lib\tempfile.py", line 834, in cleanup
    self._rmtree(self.name)
  File "C:\ProgramData\Anaconda3\lib\tempfile.py", line 816, in _rmtree
    _shutil.rmtree(name, onerror=onerror)
  File "C:\ProgramData\Anaconda3\lib\shutil.py", line 759, in rmtree
    return _rmtree_unsafe(path, onerror)
  File "C:\ProgramData\Anaconda3\lib\shutil.py", line 629, in _rmtree_unsafe
    onerror(os.unlink, fullname, sys.exc_info())
  File "C:\ProgramData\Anaconda3\lib\tempfile.py", line 808, in onerror
    cls._rmtree(path)
  File "C:\ProgramData\Anaconda3\lib\tempfile.py", line 816, in _rmtree
    _shutil.rmtree(name, onerror=onerror)
  File "C:\ProgramData\Anaconda3\lib\shutil.py", line 759, in rmtree
    return _rmtree_unsafe(path, onerror)
  File "C:\ProgramData\Anaconda3\lib\shutil.py", line 610, in _rmtree_unsafe
    onerror(os.scandir, path, sys.exc_info())
  File "C:\ProgramData\Anaconda3\lib\shutil.py", line 607, in _rmtree_unsafe
    with os.scandir(path) as scandir_it:
NotADirectoryError: [WinError 267] 目录名称无效。: 'C:\\Users\\zidea\\AppData\\Local\\Temp\\tmpc038di1a\\objs'
# weird error